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Field
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data science and numerical modeling. This research advances technology and innovation and offers students hands-on opportunities to address real-world challenges, preparing them for leadership roles in
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provision of user-tailored climate services including products related to climate modeling. The successful candidate will have experience in two or more of the following areas: numerical climate modeling
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CRISPRai and optogenetic control systems and developing predictive metabolic models for the oleaginous yeast Yarrowia lipolytica. This position offers a unique opportunity to conduct cutting-edge research
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work with colleagues from Virginia Tech and other collaborating universities to run, analyze, and model human evacuation experiments. Data will include motion capture and psychophysiology data to explore
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, including hybrid simulations coupling machine learning with numerical methods, multiscale discretization, nonlocal closure modeling, structure preservation, multilevel and multifidelity machine learning
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“LAHAR-MM: An integrated approach to LAhar Hazard Assessment and eaRly warning using geophysical Monitoring and numerical Modelling”. This project will investigate the characteristics and flow behaviour
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organoid and across organoids, enhancing our theoretical understanding of the emerging information content within the single organoid and across the array, through the development of analytical and modelling
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Position Highlights We seek an early career scientist with background in ecohydrology, numerical modeling and/or remote sensing to fill a position as Postdoctoral Research Associate at the Department
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USA Position Highlights We seek an early career scientist with background in ecohydrology, numerical modeling and/or remote sensing to fill a position as Postdoctoral Research Associate
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considered. The ideal candidate will have a background in immunology, tissue biology or cellular metabolism. Experience in working with animal models, cell isolations from tissues (lung, intestine), human